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Grizzi F, Bax C, Farina FM, Tidu L, Hegazi MAAA, Chiriva-Internati M, Capelli L, Robbiani S, Dellacà R, Taverna G. Recapitulating COVID-19 detection methods: RT-PCR, sniffer dogs and electronic nose. Diagn Microbiol Infect Dis 2024; 110:116430. [PMID: 38996774 DOI: 10.1016/j.diagmicrobio.2024.116430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/04/2024] [Accepted: 07/08/2024] [Indexed: 07/14/2024]
Abstract
In December 2019, a number of subjects presenting with an unexplained pneumonia-like illness were suspected to have a link to a seafood market in Wuhan, China. Subsequently, this illness was identified as the 2019-novel coronavirus (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the World Committee on Virus Classification. Since its initial identification, the virus has rapidly sperad across the globe, posing an extraordinary challenge for the medical community. Currently, the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is considered the most reliable method for diagnosing SARS-CoV-2. This procedure involves collecting oro-pharyngeal or nasopharyngeal swabs from individuals. Nevertheless, for the early detection of low viral loads, a more sensitive technique, such as droplet digital PCR (ddPCR), has been suggested. Despite the high effectiveness of RT-PCR, there is increasing interest in utilizing highly trained dogs and electronic noses (eNoses) as alternative methods for screening asymptomatic individuals for SARS-CoV-2. These dogs and eNoses have demonstrated high sensitivity and can detect volatile organic compounds (VOCs), enabling them to distinguish between COVID-19 positive and negative individuals. This manuscript recapitulates the potential, advantages, and limitations of employing trained dogs and eNoses for the screening and control of SARS-CoV-2.
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Affiliation(s)
- Fabio Grizzi
- Department of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
| | - Carmen Bax
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Milan, Italy
| | - Floriana Maria Farina
- Department of Medical Biotechnologies and Translational Medicine, University of Milan, Milan, Italy
| | - Lorenzo Tidu
- Italian Ministry of Defenses, "Vittorio Veneto" Division, Firenze, Italy
| | - Mohamed A A A Hegazi
- Department of Immunology and Inflammation, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Maurizio Chiriva-Internati
- Departments of Gastroenterology, Hepatology & Nutrition, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Laura Capelli
- Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Milan, Italy
| | - Stefano Robbiani
- Politecnico di Milano, TechRes Lab, Department of Electronics Information and Bioengineering (DEIB), Milan, Italy
| | - Raffaele Dellacà
- Politecnico di Milano, TechRes Lab, Department of Electronics Information and Bioengineering (DEIB), Milan, Italy
| | - Gianluigi Taverna
- Department of Urology, Humanitas Mater Domini, Castellanza, Varese, Italy
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2
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Vinhas M, Leitão PM, Raimundo BS, Gil N, Vaz PD, Luis-Ferreira F. AI Applied to Volatile Organic Compound (VOC) Profiles from Exhaled Breath Air for Early Detection of Lung Cancer. Cancers (Basel) 2024; 16:2200. [PMID: 38927906 PMCID: PMC11201396 DOI: 10.3390/cancers16122200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Volatile organic compounds (VOCs) are an increasingly meaningful method for the early detection of various types of cancers, including lung cancer, through non-invasive methods. Traditional cancer detection techniques such as biopsies, imaging, and blood tests, though effective, often involve invasive procedures or are costly, time consuming, and painful. Recent advancements in technology have led to the exploration of VOC detection as a promising non-invasive and comfortable alternative. VOCs are organic chemicals that have a high vapor pressure at room temperature, making them readily detectable in breath, urine, and skin. The present study leverages artificial intelligence (AI) and machine learning algorithms to enhance classification accuracy and efficiency in detecting lung cancer through VOC analysis collected from exhaled breath air. Unlike other studies that primarily focus on identifying specific compounds, this study takes an agnostic approach, maximizing detection efficiency over the identification of specific compounds focusing on the overall compositional profiles and their differences across groups of patients. The results reported hereby uphold the potential of AI-driven techniques in revolutionizing early cancer detection methodologies towards their implementation in a clinical setting.
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Affiliation(s)
- Manuel Vinhas
- Departamento de Engenharia Electrotécnica e de Computadores, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Monte da Caparica, Portugal;
| | - Pedro M. Leitão
- Unidade de Pulmão, Centro Clínico Champalimaud, Fundação Champalimaud, Av. Brasília, 1400-038 Lisbon, Portugal; (P.M.L.); (B.S.R.); (N.G.)
| | - Bernardo S. Raimundo
- Unidade de Pulmão, Centro Clínico Champalimaud, Fundação Champalimaud, Av. Brasília, 1400-038 Lisbon, Portugal; (P.M.L.); (B.S.R.); (N.G.)
| | - Nuno Gil
- Unidade de Pulmão, Centro Clínico Champalimaud, Fundação Champalimaud, Av. Brasília, 1400-038 Lisbon, Portugal; (P.M.L.); (B.S.R.); (N.G.)
| | - Pedro D. Vaz
- Unidade de Pulmão, Centro Clínico Champalimaud, Fundação Champalimaud, Av. Brasília, 1400-038 Lisbon, Portugal; (P.M.L.); (B.S.R.); (N.G.)
| | - Fernando Luis-Ferreira
- Departamento de Engenharia Electrotécnica e de Computadores, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Monte da Caparica, Portugal;
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3
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Chou H, Godbeer L, Ball ML. Establishing breath as a biomarker platform-take home messages from the Breath Biopsy Conference 2023. J Breath Res 2024; 18:030401. [PMID: 38631337 DOI: 10.1088/1752-7163/ad3fdf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/17/2024] [Indexed: 04/19/2024]
Abstract
The annual Breath Biopsy Conference hosted by Owlstone Medical gathers together the leading experts, early career researchers, and physicians working with breath as a biomarker platform for clinical purposes. The current topics in breath research are discussed and presented, and an overarching topical theme is identified and discussed as part of an expert panel to close the conference. The profiling of normal breath composition and the establishment of standards for analyzing breath compared to background signal were two important topics that were major focuses of this conference, as well as important innovative progress that has been made since last year, including the development of a non-invasive breath test for lung cancer and liver disease. This meeting report offers an overview of the key take-home messages from the various presentations, posters, and discussions from the conference.
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Affiliation(s)
- Hsuan Chou
- Owlstone Medical Ltd, 183 Cambridge Science Park, Milton Road, Cambridge, CB4 0GJ, United Kingdom
| | - Lucy Godbeer
- Owlstone Medical Ltd, 183 Cambridge Science Park, Milton Road, Cambridge, CB4 0GJ, United Kingdom
| | - Madeleine L Ball
- Owlstone Medical Ltd, 183 Cambridge Science Park, Milton Road, Cambridge, CB4 0GJ, United Kingdom
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4
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Jia Z, Thavasi V, Venkatesan T, Lee P. Breath Analysis for Lung Cancer Early Detection-A Clinical Study. Metabolites 2023; 13:1197. [PMID: 38132879 PMCID: PMC10745549 DOI: 10.3390/metabo13121197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/30/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
This clinical study presents a comprehensive investigation into the utility of breath analysis as a non-invasive method for the early detection of lung cancer. The study enrolled 14 lung cancer patients, 14 non-lung cancer controls with diverse medical conditions, and 3 tuberculosis (TB) patients for biomarker discovery. Matching criteria including age, gender, smoking history, and comorbidities were strictly followed to ensure reliable comparisons. A systematic breath sampling protocol utilizing a BIO-VOC sampler was employed, followed by VOC analysis using Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC/MS). The resulting VOC profiles were subjected to stringent statistical analysis, including Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA), Kruskal-Wallis test, and Receiver Operating Characteristic (ROC) analysis. Notably, 13 VOCs exhibited statistically significant differences between lung cancer patients and controls. The combination of eight VOCs (hexanal, heptanal, octanal, benzaldehyde, undecane, phenylacetaldehyde, decanal, and benzoic acid) demonstrated substantial discriminatory power with an area under the curve (AUC) of 0.85, a sensitivity of 82%, and a specificity of 76% in the discovery set. Validation in an independent cohort yielded an AUC of 0.78, a sensitivity of 78%, and a specificity of 64%. Further analysis revealed that elevated aldehyde levels in lung cancer patients' breath could be attributed to overactivated Alcohol Dehydrogenase (ADH) pathways in cancerous tissues. Addressing methodological challenges, this study employed a matching of physiological and pathological confounders, controlled room air samples, and standardized breath sampling techniques. Despite the limitations, this study's findings emphasize the potential of breath analysis as a diagnostic tool for lung cancer and suggest its utility in differentiating tuberculosis from lung cancer. However, further research and validation are warranted for the translation of these findings into clinical practice.
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Affiliation(s)
- Zhunan Jia
- NUSNNI-Nanocore, National University of Singapore, Singapore 117411, Singapore;
| | - Velmurugan Thavasi
- Center for Quantum Research and Technology, Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019, USA;
| | - Thirumalai Venkatesan
- NUSNNI-Nanocore, National University of Singapore, Singapore 117411, Singapore;
- Center for Quantum Research and Technology, Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019, USA;
| | - Pyng Lee
- Respiratory and Critical Care Medicine, National University Hospital, 1E Kent Ridge Road, Singapore 119228, Singapore
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5
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Rai D, Pattnaik B, Bangaru S, Tak J, Kumari J, Verma U, Vadala R, Yadav G, Dhaliwal RS, Kumar S, Kumar R, Jain D, Luthra K, Chosdol K, Palanichamy JK, Khan MA, Surendranath A, Mittal S, Tiwari P, Hadda V, Madan K, Agrawal A, Guleria R, Mohan A. microRNAs in exhaled breath condensate for diagnosis of lung cancer in a resource-limited setting: a concise review. Breathe (Sheff) 2023; 19:230125. [PMID: 38351949 PMCID: PMC10862127 DOI: 10.1183/20734735.0125-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/30/2023] [Indexed: 02/16/2024] Open
Abstract
Lung cancer is one of the common cancers globally with high mortality and poor prognosis. Most cases of lung cancer are diagnosed at an advanced stage due to limited diagnostic resources. Screening modalities, such as sputum cytology and annual chest radiographs, have not proved sensitive enough to impact mortality. In recent years, annual low-dose computed tomography has emerged as a potential screening tool for early lung cancer detection, but it may not be a feasible option for developing countries. In this context, exhaled breath condensate (EBC) analysis has been evaluated recently as a noninvasive tool for lung cancer diagnosis. The breath biomarkers also have the advantage of differentiating various types and stages of lung cancer. Recent studies have focused more on microRNAs (miRNAs) as they play a key role in tumourigenesis by regulating the cell cycle, metastasis and angiogenesis. In this review, we have consolidated the current published literature suggesting the utility of miRNAs in EBC for the detection of lung cancer.
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Affiliation(s)
- Divyanjali Rai
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Bijay Pattnaik
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sunil Bangaru
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jaya Tak
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jyoti Kumari
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Umashankar Verma
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rohit Vadala
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Geetika Yadav
- Indian Council of Medical Research, New Delhi, India
| | | | - Sunil Kumar
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Kalpana Luthra
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Kunzang Chosdol
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | | | - Maroof Ahmad Khan
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Addagalla Surendranath
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Saurabh Mittal
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Pawan Tiwari
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Vijay Hadda
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Karan Madan
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Anurag Agrawal
- Trivedi School of Biosciences, Ashoka University, Sonipat, India
| | - Randeep Guleria
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Anant Mohan
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
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6
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Westhoff M, Keßler M, Baumbach JI. Alveolar gradients in breath analysis. A pilot study with comparison of room air and inhaled air by simultaneous measurements using ion mobility spectrometry. J Breath Res 2023; 17:046009. [PMID: 37611565 DOI: 10.1088/1752-7163/acf338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/23/2023] [Indexed: 08/25/2023]
Abstract
Analyzing exhaled breath samples, especially using a highly sensitive method such as MCC/IMS (multi-capillary column/ion mobility spectrometry), may also detect analytes that are derived from exogenous production. In this regard, there is a discussion about the optimal interpretation of exhaled breath, either by considering volatile organic compounds (VOCs) only in exhaled breath or by additionally considering the composition of room air and calculating the alveolar gradients. However, there are no data on whether the composition and concentration of VOCs in room air are identical to those in truly inhaled air directly before analyzing the exhaled breath. The current study aimed to determine whether the VOCs in room air, which are usually used for the calculation of alveolar gradients, are identical to the VOCs in truly inhaled air. For the measurement of inhaled air and room air, two IMS, each coupled with an MCC that provided a pre-separation of the VOCs, were used in parallel. One device was used for sampling room air and the other for sampling inhaled air. Each device was coupled with a newly invented system that cleaned room air and provided a clean carrier gas, whereas formerly synthetic air had to be used as a carrier gas. In this pilot study, a healthy volunteer underwent three subsequent runs of sampling of inhaled air and simultaneous sampling and analysis of room air. Three of the selected 11 peaks (P4-unknown, P5-1-Butanol, and P9-Furan, 2-methyl-) had significantly higher intensities during inspiration than in room air, and four peaks (P1-1-Propanamine, N-(phenylmethylene), P2-2-Nonanone, P3-Benzene, 1,2,4-trimethyl-, and P11-Acetyl valeryl) had higher intensities in room air. Furthermore, four peaks (P6-Benzaldehyde, P7-Pentane, 2-methyl-, P8-Acetone, and P10-2-Propanamine) showed inconsistent differences in peak intensities between inhaled air and room air. To the best of our knowledge, this is the first study to compare simultaneous sampling of room air and inhaled air using MCC/IMS. The simultaneous measurement of inhaled air and room air showed that using room air for the calculation of alveolar gradients in breath analysis resulted in different alveolar gradient values than those obtained by measuring truly inhaled air.
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Affiliation(s)
- M Westhoff
- Department of Pneumology, Sleep and Respiratory Medicine, Hemer Lung Clinic, Theo-Funccius-Str. 1, 58675 Hemer, Germany
- Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448 Witten, Germany
| | - M Keßler
- University of Applied Sciences Münster, Hüfferstrasse 27, 48149 Münster, Germany
- B. Braun Melsungen AG, Branch Dortmund, Center of Competence Breath Analysis, Otto-Hahn-Str. 15, 44227 Dortmund, Germany
| | - J I Baumbach
- Technical University Dortmund, Faculty Bio- and Chemical Engineering, Emil-Figge-Str. 70, 44227 Dortmund, Germany
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7
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Vivaldi FM, Reale S, Ghimenti S, Biagini D, Lenzi A, Lomonaco T, Di Francesco F. A low-cost internal standard loader for solid-phase sorbing tools. J Breath Res 2023; 17:046008. [PMID: 37567168 DOI: 10.1088/1752-7163/acef4b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/11/2023] [Indexed: 08/13/2023]
Abstract
Solid-phase sorption is widely used for the analysis of gaseous specimens as it allows at the same time to preconcentrate target analytes and store samples for relatively long periods. The addition of internal standards (ISs) in the analytical workflow can greatly reduce the variability of the analyses and improve the reliability of the protocols. In this work, we describe the development and testing of a portable system for the reliable production of gaseous mixture of8D-Toluene in a 1L Silonite canister as well as its reproducible loading into solid-phase sorbing tools as ISs. The portable system was tested using needle trap microextraction, solid-phase extraction, and thin-film microextraction techniques commonly employed for the analysis of gaseous samples. Even though our specific interest is in breath analysis, the system can also be used for the collection of any kind of gaseous specimen. A microcontroller allows the fine control of the sampling flow by a digital mass flow controller. Flow rate and sample volume could be set either through a rotary encoder mounted onto the control board or through a dedicated android app. The variability of the airflow is in the range 5-200 ml min-1and it is lower than 1%, whereas the variability of the IS (8D-Toluene) concentration dispensed over time by the loader measured by selected-ion flow-tube mass spectrometry (MS) is <3%. This combination resulted in intra- and inter-day precision of the amount loaded in the sorbent tools lower than 15%. No carry-over was detected in the loader after the delivery of the8D-Toluene measured by gas chromatography-MS. The8D-Toluene concentration in the canister was stable for up to three weeks at room temperature.
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Affiliation(s)
- F M Vivaldi
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - S Reale
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - S Ghimenti
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - D Biagini
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - A Lenzi
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - T Lomonaco
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
| | - F Di Francesco
- Department of Chemistry and Industrial Chemistry, University of Pisa, via Giuseppe Moruzzi 13, 56124 Pisa, Italy
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8
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Seong SH, Kim HS, Lee YM, Kim JS, Park S, Oh J. Exploration of Potential Breath Biomarkers of Chronic Kidney Disease through Thermal Desorption-Gas Chromatography/Mass Spectrometry. Metabolites 2023; 13:837. [PMID: 37512544 PMCID: PMC10385797 DOI: 10.3390/metabo13070837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/04/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Breath volatile organic compound (VOC) analysis is a non-invasive tool for assessing health status; the compositional profile of these compounds in the breath of patients with chronic kidney disease is believed to change with decreasing renal function. We aimed to identify breath VOCs for recognizing patients with chronic kidney disease. Using thermal desorption-gas chromatography/mass spectrometry, untargeted analysis of breath markers was performed using breath samples of healthy controls (n = 18) versus non-dialysis (n = 21) and hemodialysis (n = 12) patients with chronic kidney disease in this cross-sectional study. A total of 303 VOCs alongside 12 clinical variables were used to determine the breath VOC profile. Metabolomic analysis revealed that age, systolic blood pressure, and fifty-eight breath VOCs differed significantly between the chronic kidney disease group (non-dialysis + hemodialysis) and healthy controls. Thirty-six VOCs and two clinical variables that showed significant associations with chronic kidney disease in the univariate analysis were further analyzed. Different spectra of breath volatile organic compounds between the control and chronic kidney disease groups were obtained. A multivariate model incorporating age, 2-methyl-pentane, and cyclohexanone showed high performance (accuracy, 86%) in identifying patients with chronic kidney disease with odds ratios of 0.18 (95% CI, 0.07-2.49, p = 0.013); 2.10 (0.94-2.24, p = 0.025); and 2.31 (0.88-2.64, p = 0.008), respectively. Hence, this study showed that renal dysfunction induces a characteristic profile of breath VOCs that can be used as non-invasive potential biomarkers in screening tests for CKD.
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Affiliation(s)
- Si-Hyun Seong
- Mass Spectrometry & Advanced Instrumentation Group, Korea Basic Science Institute, Cheonju 28119, Republic of Korea
- College of Pharmacy, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Hyun Sik Kim
- Mass Spectrometry & Advanced Instrumentation Group, Korea Basic Science Institute, Cheonju 28119, Republic of Korea
- ASTA Corporation, Research & Development Center, Suwon 16229, Republic of Korea
| | - Yong-Moon Lee
- College of Pharmacy, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Jae-Seok Kim
- Department of Laboratory Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 05355, Republic of Korea
| | - Sangwoo Park
- Koscom Fund Services Corporation, Seoul 07330, Republic of Korea
| | - Jieun Oh
- Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 05355, Republic of Korea
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9
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Shawn ST, Harshman SW, Davidson CN, Lee JH, Jung AE, Parker A, Hawkins MA, Stamps BW, Pitsch RL, Martin JA. Sterilization and reuse of masks for a standardized exhaled breath collection device by autoclaving. J Breath Res 2023; 17:036006. [PMID: 37352843 DOI: 10.1088/1752-7163/ace127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/23/2023] [Indexed: 06/25/2023]
Abstract
Exhaled breath research has been hindered by a lack of standardization in collection and analysis methodologies. Recently, the Respiration Collector forIn VitroAnalysis (ReCIVA) sampling device has illustrated the potential to provide a consistent and convenient method for exhaled breath collection onto adsorbent media. However, the significant costs, compared to exhaled breath bags, associated with the standardized collector is believed to be the reason for limited widespread use by researchers in the exhaled breath field. For example, in addition to the sampling hardware, a single-use disposable silicon mask affixed with a filter is required for each exhaled breath collection. To reduce the financial burden, streamline device upkeep, reduce waste material, and ease the logistical burden associated with the single use masks, it is hypothesized that the consumable masks and filters could be sterilized by autoclaving for reuse. The masks were contaminated, autoclaved, and then tested for any surviving pathogens with spore strip standards and by measuring the optical density of cultures. The compound background collected when using the ReCIVA with new masks was compared to that collected with repeatedly autoclaved masks via thermal desorption gas chromatography mass spectrometry (TD-GC-MS). The capacity to block particulate matter of new filters was tested against that of autoclaved filters by introducing an aerosol and comparing pre-filter and post-filter particle counts. Finally, breath samplings were conducted with new masks and autoclaved masks to test for changes in measurements by TD-GC-MS of exogenous and endogenous compounds. The data illustrate the autoclave cycle sterilizes masks spiked with saliva to background levels (p= 0.2527). The results indicate that background levels of siloxane compounds are increased as masks are repetitively autoclaved. The data show that mask filters have significant breakthrough of 1μm particles after five repetitive autoclaving cycles compared to new filters (p= 0.0219). Finally, exhaled breath results utilizing a peppermint ingestion protocol indicate two compounds associated with peppermint, menthone and 1-Methyl-4-(1-methylethyl)-cyclohexanol, and an endogenous exhaled breath compound, isoprene, show no significant difference if sampled with a new mask or a mask autoclaved five times (p> 0.1063). Collectively, the data indicate that ReCIVA masks and filters can be sterilized via autoclave and reused. The results suggest ReCIVA mask and filter reuse should be limited to three times to limit potentially problematic background contaminants and filter dysfunction.
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Affiliation(s)
- Samuel T Shawn
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Sean W Harshman
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Christina N Davidson
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Jae Hwan Lee
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Anne E Jung
- UES Inc., 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Ariel Parker
- UES Inc., 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - M Aaron Hawkins
- UES Inc., 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Blake W Stamps
- Air Force Research Laboratory, Materials and Manufacturing Directorate, 2977 Hobson Way, Area B, Building 653, Wright- Patterson AFB, OH 45433, United States of America
| | - Rhonda L Pitsch
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Jennifer A Martin
- Air Force Research Laboratory, Materials and Manufacturing Directorate, 2977 Hobson Way, Area B, Building 653, Wright- Patterson AFB, OH 45433, United States of America
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10
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Issitt T, Reilly M, Sweeney ST, Brackenbury WJ, Redeker KR. GC/MS analysis of hypoxic volatile metabolic markers in the MDA-MB-231 breast cancer cell line. Front Mol Biosci 2023; 10:1178269. [PMID: 37251079 PMCID: PMC10210155 DOI: 10.3389/fmolb.2023.1178269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Hypoxia in disease describes persistent low oxygen conditions, observed in a range of pathologies, including cancer. In the discovery of biomarkers in biological models, pathophysiological traits present a source of translatable metabolic products for the diagnosis of disease in humans. Part of the metabolome is represented by its volatile, gaseous fraction; the volatilome. Human volatile profiles, such as those found in breath, are able to diagnose disease, however accurate volatile biomarker discovery is required to target reliable biomarkers to develop new diagnostic tools. Using custom chambers to control oxygen levels and facilitate headspace sampling, the MDA-MB-231 breast cancer cell line was exposed to hypoxia (1% oxygen) for 24 h. The maintenance of hypoxic conditions in the system was successfully validated over this time period. Targeted and untargeted gas chromatography mass spectrometry approaches revealed four significantly altered volatile organic compounds when compared to control cells. Three compounds were actively consumed by cells: methyl chloride, acetone and n-Hexane. Cells under hypoxia also produced significant amounts of styrene. This work presents a novel methodology for identification of volatile metabolisms under controlled gas conditions with novel observations of volatile metabolisms by breast cancer cells.
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Affiliation(s)
- Theo Issitt
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
| | - Matthew Reilly
- Department of Biology, University of York, York, United Kingdom
| | - Sean T. Sweeney
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
| | - William J. Brackenbury
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
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11
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Westphal K, Dudzik D, Waszczuk-Jankowska M, Graff B, Narkiewicz K, Markuszewski MJ. Common Strategies and Factors Affecting Off-Line Breath Sampling and Volatile Organic Compounds Analysis Using Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). Metabolites 2022; 13:metabo13010008. [PMID: 36676933 PMCID: PMC9866406 DOI: 10.3390/metabo13010008] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
An analysis of exhaled breath enables specialists to noninvasively monitor biochemical processes and to determine any pathological state in the human body. Breath analysis holds the greatest potential to remold and personalize diagnostics; however, it requires a multidisciplinary approach and collaboration of many specialists. Despite the fact that breath is considered to be a less complex matrix than blood, it is not commonly used as a diagnostic and prognostic tool for early detection of disordered conditions due to its problematic sampling, analysis, and storage. This review is intended to determine, standardize, and marshal experimental strategies for successful, reliable, and especially, reproducible breath analysis.
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Affiliation(s)
- Kinga Westphal
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Danuta Dudzik
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
- Correspondence: (D.D.); (M.J.M.); Tel.: +48-58-349-1493 (D.D.)
| | - Małgorzata Waszczuk-Jankowska
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
| | - Beata Graff
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Krzysztof Narkiewicz
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Michał Jan Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
- Correspondence: (D.D.); (M.J.M.); Tel.: +48-58-349-1493 (D.D.)
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12
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Pham YL, Beauchamp J, Clement A, Wiegandt F, Holz O. 3D-printed mouthpiece adapter for sampling exhaled breath in medical applications. 3D Print Med 2022; 8:27. [PMID: 35943600 PMCID: PMC9364600 DOI: 10.1186/s41205-022-00150-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
The growing use of 3D printing in the biomedical sciences demonstrates its utility for a wide range of research and healthcare applications, including its potential implementation in the discipline of breath analysis to overcome current limitations and substantial costs of commercial breath sampling interfaces. This technical note reports on the design and construction of a 3D-printed mouthpiece adapter for sampling exhaled breath using the commercial respiration collector for in-vitro analysis (ReCIVA) device. The paper presents the design and digital workflow transition of the adapter and its fabrication from three commercial resins (Surgical Guide, Tough v5, and BioMed Clear) using a Formlabs Form 3B stereolithography (SLA) printer. The use of the mouthpiece adapter in conjunction with a pulmonary function filter is appraised in comparison to the conventional commercial silicon facemask sampling interface. Besides its lower cost - investment cost of the printing equipment notwithstanding - the 3D-printed adapter has several benefits, including ensuring breath sampling via the mouth, reducing the likelihood of direct contact of the patient with the breath sampling tubes, and being autoclaveable to enable the repeated use of a single adapter, thereby reducing waste and associated environmental burden compared to current one-way disposable facemasks. The novel adapter for breath sampling presented in this technical note represents an additional field of application for 3D printing that further demonstrates its widespread applicability in biomedicine.
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Affiliation(s)
- Y Lan Pham
- Fraunhofer Institute for Process Engineering and Packaging IVV, Giggenhauser Straße 35, 85354, Freising, Germany.,Department of Chemistry and Pharmacy, Chair of Aroma and Smell Research, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestraße 9, 91054, Erlangen, Germany
| | - Jonathan Beauchamp
- Fraunhofer Institute for Process Engineering and Packaging IVV, Giggenhauser Straße 35, 85354, Freising, Germany
| | - Alexander Clement
- Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, 30625, Hannover, Germany
| | - Felix Wiegandt
- Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, 30625, Hannover, Germany
| | - Olaf Holz
- Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, 30625, Hannover, Germany. .,Member of the German Centre of Lung Research DZL (BREATH), Hannover, Germany.
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13
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Sampling and Analysis of Low-Molecular-Weight Volatile Metabolites in Cellular Headspace and Mouse Breath. Metabolites 2022; 12:metabo12070599. [PMID: 35888722 PMCID: PMC9315489 DOI: 10.3390/metabo12070599] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/08/2022] [Accepted: 06/15/2022] [Indexed: 02/04/2023] Open
Abstract
Volatile compounds, abundant in breath, can be used to accurately diagnose and monitor a range of medical conditions. This offers a noninvasive, low-cost approach with screening applications; however, the uptake of this diagnostic approach has been limited by conflicting published outcomes. Most published reports rely on large scale screening of the public, at single time points and without reference to ambient air. Here, we present a novel approach to volatile sampling from cellular headspace and mouse breath that incorporates multi-time-point analysis and ambient air subtraction revealing compound flux as an effective proxy of active metabolism. This approach to investigating breath volatiles offers a new avenue for disease biomarker discovery and diagnosis. Using gas chromatography mass spectrometry (GC/MS), we focus on low molecular weight, metabolic substrate/by-product compounds and demonstrate that this noninvasive technique is sensitive (reproducible at ~1 µg cellular protein, or ~500,000 cells) and capable of precisely determining cell type, status and treatment. Isolated cellular models represent components of larger mammalian systems, and we show that stress- and pathology-indicative compounds are detectable in mice, supporting further investigation using this methodology as a tool to identify volatile targets in human patients.
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14
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Jakšić M, Mihajlović A, Vujić D, Giannoukos S, Brkić B. Membrane inlet mass spectrometry method for food intake impact assessment on specific volatile organic compounds in exhaled breath. Anal Bioanal Chem 2022; 414:6077-6091. [PMID: 35727330 PMCID: PMC9314300 DOI: 10.1007/s00216-022-04168-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/24/2022] [Accepted: 06/07/2022] [Indexed: 11/30/2022]
Abstract
This research work describes the development of a novel bioanalytical method for the assessment of food impact on selected exhaled breath volatile organic compounds (VOCs) using a fast and portable screening VOC prototype sensor based on membrane inlet mass spectrometry (MIMS). Method and sensor prototype functionality was verified by obtaining good response times, linearity in the examined concentration ranges, and sensitivity and repeatability for several breath VOCs—acetone, ethanol, n-pentane, and isoprene. A new VOC sensor prototype was also proven to be sensitive enough for selected breath VOC quantification with limits of detection at low part per billion (ppb) levels—5 ppb for n-pentane, 10 ppb for acetone and ethanol, and 25 ppb for isoprene. Food impact assessment was accomplished by tracking the levels of acetone, ethanol, n-pentane, and isoprene in exhaled breath samples collected from 50 healthy participants before the meal and 60 min and 120 min after the meal. For acetone, isoprene, and n-pentane, a larger impact was noticed 120 min after the meal, while for ethanol, it was after 60 min. Obtained VOC levels were in the expected concentration ranges. Mean values at all time points were ~ 500–900 ppb for acetone and ~ 400–600 ppb for ethanol. Most of the results for n-pentane were below 5 ppb, but the mean value for those which were detected was ~ 30 ppb. Along with samples, data about participants’ lifestyle were collected via a short questionnaire, which were compared against obtained VOC levels in order to reveal some significant correlations between habits of participants and their breath VOC levels.
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Affiliation(s)
- Milena Jakšić
- BioSense Institute, University of Novi Sad, Dr Zorana Djindjića 1, 21000, Novi Sad, Serbia.
| | - Andrea Mihajlović
- BioSense Institute, University of Novi Sad, Dr Zorana Djindjića 1, 21000, Novi Sad, Serbia
| | - Djordje Vujić
- BioSense Institute, University of Novi Sad, Dr Zorana Djindjića 1, 21000, Novi Sad, Serbia
| | - Stamatios Giannoukos
- Department of Chemistry and Applied Biosciences, ETH Zurich, HCI D 317, Vladimir-Prelog-Weg 3, CH-8093, Zurich, Switzerland
| | - Boris Brkić
- BioSense Institute, University of Novi Sad, Dr Zorana Djindjića 1, 21000, Novi Sad, Serbia.
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15
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Leemans M, Bauër P, Cuzuel V, Audureau E, Fromantin I. Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review. Biomark Insights 2022; 17:11772719221100709. [PMID: 35645556 PMCID: PMC9134002 DOI: 10.1177/11772719221100709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction An early diagnosis is crucial in reducing mortality among people who have breast cancer (BC). There is a shortfall of characteristic early clinical symptoms in BC patients, highlighting the importance of investigating new methods for its early detection. A promising novel approach is the analysis of volatile organic compounds (VOCs) produced and emitted through the metabolism of cancer cells. Methods The purpose of this systematic review is to outline the published research regarding BC-associated VOCs. For this, headspace analysis of VOCs was explored in patient-derived body fluids, animal model-derived fluids, and BC cell lines to identify BC-specific VOCs. A systematic search in PubMed and Web of Science databases was conducted according to the PRISMA guidelines. Results Thirty-two studies met the criteria for inclusion in this review. Results highlight that VOC analysis can be promising as a potential novel screening tool. However, results of in vivo, in vitro and case-control studies have delivered inconsistent results leading to a lack of inter-matrix consensus between different VOC sampling methods. Discussion Discrepant VOC results among BC studies have been obtained, highly due to methodological discrepancies. Therefore, methodological issues leading to disparities have been reviewed and recommendations have been made on the standardisation of VOC collection and analysis methods for BC screening, thereby improving future VOC clinical validation studies.
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Affiliation(s)
| | - Pierre Bauër
- Institut Curie, Ensemble hospitalier, Unité Plaies et Cicatrisation, Paris, France
| | - Vincent Cuzuel
- Institut de Recherche Criminelle de la Gendarmerie Nationale, Caserne Lange, Cergy Pontoise Cedex, France
| | - Etienne Audureau
- Univ Paris Est Créteil, INSERM, IMRB, Créteil, France
- Assistance Publique – Hôpitaux de Paris, Hôpital Henri Mondor, Service de Santé Publique, Créteil, France
| | - Isabelle Fromantin
- Univ Paris Est Créteil, INSERM, IMRB, Créteil, France
- Institut Curie, Ensemble hospitalier, Unité Plaies et Cicatrisation, Paris, France
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16
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Chen D, Bryden NA, Bryden WA, McLoughlin M, Smith D, Devin AP, Caton ER, Haddaway CR, Tameris M, Scriba TJ, Hatherill M, Gessner S, Warner DF, Wood R. Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis. Sci Rep 2022; 12:7919. [PMID: 35562381 PMCID: PMC9106714 DOI: 10.1038/s41598-022-12018-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 04/29/2022] [Indexed: 12/23/2022] Open
Abstract
Human breath contains trace amounts of non-volatile organic compounds (NOCs) which might provide non-invasive methods for evaluating individual health. In previous work, we demonstrated that lipids detected in exhaled breath aerosol (EBA) could be used as markers of active tuberculosis (TB). Here, we advanced our analytical platform for characterizing small metabolites and lipids in EBA samples collected from participants enrolled in clinical trials designed to identify molecular signatures of active TB. EBA samples from 26 participants with active TB and 73 healthy participants were processed using a dual-phase extraction method, and metabolites and lipids were identified via mass spectrometry database matching. In total, 13 metabolite and 9 lipid markers were identified with statistically different optimized relative standard deviation values between individuals diagnosed with active TB and the healthy controls. Importantly, EBA lipid profiles can be used to separate the two sample types, indicating the diagnostic potential of the identified molecules. A feature ranking algorithm reduced this number to 10 molecules, with the membrane glycerophospholipid, phosphatidylinositol 24:4, emerging as the top driver of segregation between the two groups. These results support the use of this approach to identify consistent NOC signatures from EBA samples in active TB cases. This suggests the potential to apply this method to other human diseases which alter respiratory NOC release.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Michele Tameris
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Sophia Gessner
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Institute of Infectious Disease and Molecular Medicine and Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Digby F Warner
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Institute of Infectious Disease and Molecular Medicine and Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Robin Wood
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
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17
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Chew B, Pimentel Contreras R, McCartney MM, Borras E, Kenyon NJ, Davis CE. A low cost, easy-to-assemble, open-source modular mobile sampler design for thermal desorption analysis of breath and environmental VOCs. J Breath Res 2022; 16. [PMID: 35508102 DOI: 10.1088/1752-7163/ac6c9f] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 05/04/2022] [Indexed: 11/12/2022]
Abstract
Exhaled breath vapor contains hundreds of volatile organic compounds (VOCs), which are the byproducts of health and disease metabolism, and they have clinical and diagnostic potential. Simultaneous collection of breath VOCs and background environmental VOCs is important to ensure analyses eliminate exogenous compounds from clinical studies. We present a mobile sampling system to extract gaseous VOCs onto commercially available sorbent-packed thermal desorption tubes. The sampler can be connected to a number of commonly available disposable and reusable sampling bags, in the case of this study, a Tedlar bag containing a breath sample. Alternatively, the inlet can be left open to directly sample room or environmental air when obtaining a background VOC sample. The system contains a screen for the operator to input a desired sample volume. A needle valve allows the operator to control the sample flow rate, which operates with an accuracy of -1.52 ± 0.63% of the desired rate, and consistently generated that rate with 0.12 ± 0.06% error across repeated measures. A flow pump, flow sensor and microcontroller allow volumetric sampling, as opposed to timed sampling, with 0.06 ± 0.06% accuracy in the volume extracted. Four samplers were compared by sampling a standard chemical mixture, which resulted in 6.4 ± 4.7% error across all four replicate modular samplers to extract a given VOC. The samplers were deployed in a clinical setting to collect breath and background/environmental samples, including patients with active SARS-CoV-2 infections, and the device could easily move between rooms and can undergo required disinfection protocols to prevent transmission of pathogens on the case exterior. All components required for assembly are detailed and are made publicly available for non-commercial use, including the microcontroller software. We demonstrate the device collects volatile compounds, including use of chemical standards, and background and breath samples in real use conditions.
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Affiliation(s)
- Bradley Chew
- Department of Mechanical and Aerospace Engineering, University of California - Davis, Davis, USA, Davis, California, 95616, UNITED STATES
| | - Raquel Pimentel Contreras
- Department of Mechanical and Aerospace Engineering, University of California - Davis, Davis, USA, Davis, California, 95616, UNITED STATES
| | - Mitchell M McCartney
- Mechanical and Aerospace Engineering, University of California - Davis, One Shields Avenue, Davis, California, 95616, UNITED STATES
| | - Eva Borras
- Department of Mechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis, California, 95616, UNITED STATES
| | - Nicholas J Kenyon
- Sacramento Medical Center, UC Davis Health System, Sacramento, CA 795187, USA, Sacramento, California, 95616, UNITED STATES
| | - Cristina E Davis
- Department of Mechanical and Aerospace Engineering, University of California - Davis, Davis, USA, Davis, California, 95616, UNITED STATES
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18
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Bhavra K, Wilde M, Richardson M, Cordell R, Thomas CLP, Zhao B, Bryant L, Brightling CE, Ibrahim W, Salman D, Siddiqui S, Monks P, Gaillard E. The utility of a standardised breath sampler in school age children within a real-world prospective study. J Breath Res 2022; 16. [PMID: 35168217 DOI: 10.1088/1752-7163/ac5526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 02/15/2022] [Indexed: 11/12/2022]
Abstract
Clinical assessment of paediatric asthmatics is problematic, and non-invasive biomarkers are needed urgently. Monitoring exhaled volatile organic compounds (VOCs) is an attractive alternative to invasive tests (blood and sputum), and may be used as frequently as required. Standardised reproducible breath-sampling is essential for exhaled-VOC analysis, and although the ReCIVA (Owlstone Medical Limited) breath-sampler was designed to satisfy this requirement, paediatric use was not in the original design brief. The efficacy of the ReCIVA for sampling paediatric-breath has been studied, and 90 breath-samples from 64 children (5-15 years) with, and without asthma (controls), were collected with two different ReCIVA units. Seventy samples (77.8%) contained the specified 1L of sampled-breath. Median sampling times were longer in children with acute asthma (770.2 s, range: 532.2-900.1 s) compared to stable asthma (690.6 s, range: 477.5-900.1 s; p=0.01). The ReCIVA successfully detected operational faults, in 21 samples. A leak, caused by a poor fit of the face mask seal was the most common (15); the others were USB communication-faults (5); and, a single instance of a file-creation error. Paediatric breath-profiles were reliably monitored, however synchronisation of sampling to breathing-phases was sometimes lost, causing some breaths not to be sampled, and some to be sampled continuously. This occurred in 60 (66.7%) of the samples and was a source of variability. Three samples were lost from a combination of factors, however, and importantly, multi-variate modelling of untargeted VOC analysis indicated the absence of significant batch effects for 8 operational variables. The ReCIVA appears suitable for paediatric breath-sampling. Post-processing of breath-sample meta-data is recommended to assess the quality of sample-acquisition. Further, future studies should explore the effect of pump-synchronisation faults on recovered VOC profiles, and mask sizes to fit all ages will reduce the potential for leaks and importantly, provide higher levels of comfort to children with asthma.
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Affiliation(s)
- Kirandeep Bhavra
- Department of Respiratory Sciences, Leicester Royal Infirmary, NIHR Leicester Biomedical Research Centre (Respiratory theme), PO Box 65, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Michael Wilde
- University of Leicester, Department of Chemistry, Leicester, Leicestershire, LE1 7RH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Matthew Richardson
- Loughborough University School of Science, Department of Chemistry, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Rebecca Cordell
- University of Leicester Department of Chemistry, University of Leicester, Leicester, Leicester, LE1 7RH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - C L Paul Thomas
- University of Leicester Department of Respiratory Sciences, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester, East Midlands, LE3 9QP, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Bo Zhao
- University of Leicester College of Life Sciences, Leicester NIHR Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester, Leicester, LE3 9QP, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Luke Bryant
- University of Leicester Department of Chemistry, University of Leicester, University Road, Leicester, Leicester, LE1 7RH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Christopher E Brightling
- Loughborough University School of Science, Department of Chemistry, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Wadah Ibrahim
- Loughborough University School of Science, Department of Chemistry, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Dahlia Salman
- University of Leicester Department of Respiratory Sciences, NIHR Leicester Biomedical Research Centre (Respiratory theme),, Glenfield Hospital, Groby Road, Leicester, East Midlands, LE3 9QP, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Salman Siddiqui
- Loughborough University School of Science, Department of Chemistry, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Paul Monks
- University of Leicester, Department of Chemistry, Leicester, Leicestershire, LE1 7RH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Erol Gaillard
- Department of Respiratory Sciences, University of Leicester, College of Life Sciences, Leicester, Leicestershire, LE1 7RH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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19
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Virtanen J, Anttalainen A, Ormiskangas J, Karjalainen M, Kontunen A, Rautiainen M, Oksala N, Kivekäs I, Roine A. Differentiation of aspirated nasal air from room air using analysis with a differential mobility spectrometry-based electronic nose: a proof-of-concept study. J Breath Res 2021; 16. [PMID: 34794137 DOI: 10.1088/1752-7163/ac3b39] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 11/18/2021] [Indexed: 12/17/2022]
Abstract
Over the last few decades, breath analysis using electronic nose (eNose) technology has become a topic of intense research, as it is both non-invasive and painless, and is suitable for point-of-care use. To date, however, only a few studies have examined nasal air. As the air in the oral cavity and the lungs differs from the air in the nasal cavity, it is unknown whether aspirated nasal air could be exploited with eNose technology. Compared to traditional eNoses, differential mobility spectrometry uses an alternating electrical field to discriminate the different molecules of gas mixtures, providing analogous information. This study reports the collection of nasal air by aspiration and the subsequent analysis of the collected air using a differential mobility spectrometer. We collected nasal air from ten volunteers into breath collecting bags and compared them to bags of room air and the air aspirated through the device. Distance and dissimilarity metrics between the sample types were calculated and statistical significance evaluated with Kolmogorov-Smirnov test. After leave-one-day-out cross-validation, a shrinkage linear discriminant classifier was able to correctly classify 100% of the samples. The nasal air differed (p< 0.05) from the other sample types. The results show the feasibility of collecting nasal air by aspiration and subsequent analysis using differential mobility spectrometry, and thus increases the potential of the method to be used in disease detection studies.
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Affiliation(s)
- Jussi Virtanen
- Department of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Jaakko Ormiskangas
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Faculty of Engineering and Natural Sciences, Automation Technology and Mechanical Engineering Unit, Tampere University, Tampere, Finland
| | - Markus Karjalainen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Olfactomics Ltd, Tampere, Finland
| | - Anton Kontunen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Olfactomics Ltd, Tampere, Finland
| | - Markus Rautiainen
- Department of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Niku Oksala
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Olfactomics Ltd, Tampere, Finland.,Vascular Centre, Tampere University Hospital, Tampere, Finland
| | - Ilkka Kivekäs
- Department of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Antti Roine
- Olfactomics Ltd, Tampere, Finland.,Department of Surgery, Tampere University Hospital, Hatanpää Hospital, Tampere, Finland
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20
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Zhang J, Tian Y, Luo Z, Qian C, Li W, Duan Y. Breath volatile organic compound analysis: an emerging method for gastric cancer detection. J Breath Res 2021; 15. [PMID: 34610588 DOI: 10.1088/1752-7163/ac2cde] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 10/05/2021] [Indexed: 12/14/2022]
Abstract
Gastric cancer is a common malignancy, being the fifth most frequently diagnosed cancer and the fourth leading cause of cancer-related deaths worldwide. Diagnosis of gastric cancer at the early stage is critical to effectively improve the survival rate. However, a substantial proportion of patients with gastric cancer in the early stages lack specific symptoms or are asymptomatic. Moreover, the imaging techniques currently used for gastric cancer screening, such as computed tomography and barium examination, are usually radioactive and have low sensitivity and specificity. Even though endoscopy has high accuracy for gastric cancer screening, its application is limited by the invasiveness of the technique. Breath analysis is an economic, effective, easy to perform, non-invasive detection method, and has no undesirable side effects on subjects. Extensive worldwide research has been conducted on breath volatile organic compounds (VOCs), which reveals its prospect as a potential method for gastric cancer detection. Many interesting results have been obtained and innovative methods have been introduced in this subject; hence, an extensive review would be beneficial. By providing a comprehensive list of breath VOCs identified by gastric cancer would promote further research in this field. This review summarizes the commonly used technologies for exhaled breath analysis, focusing on the application of analytical instruments in the detection of breath VOCs in gastric cancers, and the alterations in the profile of breath biomarkers in gastric cancer patients are discussed as well.
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Affiliation(s)
- Jing Zhang
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Yonghui Tian
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Zewei Luo
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Cheng Qian
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, People's Republic of China
| | - Wenwen Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, People's Republic of China
| | - Yixiang Duan
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
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21
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Cheap and easy human breath collection system for trace volatile organic compounds screening using thermal desorption - gas chromatography mass spectrometry. MethodsX 2021; 8:101386. [PMID: 34430282 PMCID: PMC8374488 DOI: 10.1016/j.mex.2021.101386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 05/12/2021] [Indexed: 11/22/2022] Open
Abstract
By analyzing the VOCs presents in our breath, we could identify if some components should not be present in our bodies, or their concentration is higher or lower than normal. To collect breath samples for VOC analysis, we looked into the current available methodologies and, due to their high prices, tried to develop our own easy and cheap device. A simple single use Minigrip LDPE plastic bag was used in this work and its efficiency and performance were tested. After breath collection, samples were analyzed using Thermal Desorption (TD) system, coupled with Gas Chromatography Mass Spectrometer (GC-MS).
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Kamal F, Kumar S, Edwards MR, Veselkov K, Belluomo I, Kebadze T, Romano A, Trujillo-Torralbo MB, Shahridan Faiez T, Walton R, Ritchie AI, Wiseman DJ, Laponogov I, Donaldson G, Wedzicha JA, Johnston SL, Singanayagam A, Hanna GB. Virus-induced Volatile Organic Compounds are Detectable in Exhaled Breath During Pulmonary Infection. Am J Respir Crit Care Med 2021; 204:1075-1085. [PMID: 34319857 DOI: 10.1164/rccm.202103-0660oc] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a condition punctuated by acute exacerbations commonly triggered by viral and/or bacterial infection. Early identification of exacerbation trigger is important to guide appropriate therapy but currently available tests are slow and imprecise. Volatile organic compounds (VOCs) can be detected in exhaled breath and have the potential to be rapid tissue-specific biomarkers of infection aetiology. METHODS We used serial sampling within in vitro and in vivo studies to elucidate the dynamic changes that occur in VOC production during acute respiratory viral infection. Highly sensitive gas-chromatography mass spectrometry (GC-MS) techniques were used to measure VOC production from infected airway epithelial cell cultures and in exhaled breath samples of healthy subjects experimentally challenged with rhinovirus A16 and COPD subjects with naturally-occurring exacerbations. RESULTS We identified a novel VOC signature comprising of decane and other related long chain alkane compounds that is induced during rhinovirus infection of cultured airway epithelial cells and is also increased in the exhaled breath of healthy subjects experimentally challenged with rhinovirus and of COPD patients during naturally-occurring viral exacerbations. These compounds correlated with magnitude of anti-viral immune responses, virus burden and exacerbation severity but were not induced by bacterial infection, suggesting they represent a specific virus-inducible signature. CONCLUSION Our study highlights the potential for measurement of exhaled breath VOCs as rapid, non-invasive biomarkers of viral infection. Further studies are needed to determine whether measurement of these signatures could be used to guide more targeted therapy with antibiotic/antiviral agents for COPD exacerbations.
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Affiliation(s)
- Faisal Kamal
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland
| | - Sacheen Kumar
- Imperial College, London, Airway Disease Infection Section, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland
| | - Michael R Edwards
- Imperial College London, Airway Disease Infection, London, United Kingdom of Great Britain and Northern Ireland
| | - Kirill Veselkov
- Imperial College, London, Airway Disease Infection Section, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland
| | - Ilaria Belluomo
- Imperial College, London, Airway Disease Infection Section, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland
| | - Tatiana Kebadze
- National Heart & Lung and Wright Felming Institute of Infection & Immunity, Respiratory Medicine, London, United Kingdom of Great Britain and Northern Ireland
| | - Andrea Romano
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland
| | - Maria-Belen Trujillo-Torralbo
- Imperial College London, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland
| | - Tasnim Shahridan Faiez
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland
| | - Ross Walton
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland
| | - Andrew I Ritchie
- Imperial College London, Airway Disease Infection, London, United Kingdom of Great Britain and Northern Ireland
| | - Dexter J Wiseman
- Imperial College London, Airway Diseases Section, London, United Kingdom of Great Britain and Northern Ireland
| | - Ivan Laponogov
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland
| | - Gavin Donaldson
- Imperial College London, Airways Disease Section, London, United Kingdom of Great Britain and Northern Ireland
| | - Jadwiga A Wedzicha
- Imperial College London, National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland
| | - Sebastian L Johnston
- National Heart & Lung and Wright Felming Institute of Infection & Immunity, Respiratory Medicine, London, United Kingdom of Great Britain and Northern Ireland
| | - Aran Singanayagam
- Imperial College, London, London, United Kingdom of Great Britain and Northern Ireland
| | - George B Hanna
- Imperial College London, 4615, London, United Kingdom of Great Britain and Northern Ireland;
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Belluomo I, Boshier PR, Myridakis A, Vadhwana B, Markar SR, Spanel P, Hanna GB. Selected ion flow tube mass spectrometry for targeted analysis of volatile organic compounds in human breath. Nat Protoc 2021; 16:3419-3438. [PMID: 34089020 DOI: 10.1038/s41596-021-00542-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 03/22/2021] [Indexed: 02/05/2023]
Abstract
The analysis of volatile organic compounds (VOCs) within breath for noninvasive disease detection and monitoring is an emergent research field that has the potential to reshape current clinical practice. However, adoption of breath testing has been limited by a lack of standardization. This protocol provides a comprehensive workflow for online and offline breath analysis using selected ion flow tube mass spectrometry (SIFT-MS). Following the suggested protocol, 50 human breath samples can be analyzed and interpreted in <3 h. Key advantages of SIFT-MS are exploited, including the acquisition of real-time results and direct compound quantification without need for calibration curves. The protocol includes details of methods developed for targeted analysis of disease-specific VOCs, specifically short-chain fatty acids, aldehydes, phenols, alcohols and alkanes. A procedure to make custom breath collection bags is also described. This standardized protocol for VOC analysis using SIFT-MS is intended to provide a basis for wider application and the use of breath analysis in clinical studies.
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Affiliation(s)
- Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Piers R Boshier
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Antonis Myridakis
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Bhamini Vadhwana
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Sheraz R Markar
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Patrik Spanel
- Department of Surgery and Cancer, Imperial College London, London, UK
- J. Heyrovský Institute of Physical Chemistry, Czech Academy of Sciences, Prague, Czechia
| | - George B Hanna
- Department of Surgery and Cancer, Imperial College London, London, UK.
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Lin GP, Vadhwana B, Belluomo I, Boshier PR, Španěl P, Hanna GB. Cross Platform Analysis of Volatile Organic Compounds Using Selected Ion Flow Tube and Proton-Transfer-Reaction Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1215-1223. [PMID: 33831301 DOI: 10.1021/jasms.1c00027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Volatile breath metabolites serve as potential disease biomarkers. Online mass spectrometry (MS) presents real-time quantification of breath volatile organic compounds (VOCs). The study aims to assess the relationship between two online analytical mass spectrometry techniques in the quantification of target breath metabolites: selected ion flow tube mass spectrometry (SIFT-MS) and proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS). The two following techniques were employed: (i) direct injection with bag sampling using SIFT-MS and PTR-ToF-MS and (ii) direct injection and thermal desorption (TD) tube comparison using PTR-ToF-MS. The concentration of abundant breath metabolites, acetone and isoprene, demonstrated a strong positive linear correlation between both mass spectrometry techniques (r = 0.97, r = 0.89, respectively; p < 0.001) and between direct injection and TD tube (r = 0.97, r = 0.92, respectively; p < 0.001) breath sampling techniques. This was reflected for the majority of short chain fatty acids and alcohols tested (r > 0.80, p < 0.001). Analyte concentrations were notably higher with the direct injection of a sampling bag compared to the TD method. All metabolites produced a high degree of agreement in the detection range of VOCs between SIFT-MS and PTR-ToF-MS, with the majority of compounds falling within 95% of the limits of agreement with Bland-Altman analysis. The cross platform analysis of exhaled breath demonstrates strong positive correlation coefficients, linear regression, and agreement in target metabolite detection rates between both breath sampling techniques. The study demonstrates the transferability of using data outputs between SIFT-MS and PTR-ToF-MS. It supports the implementation of a TD platform in multi-site studies for breath biomarker research in order to facilitate sample transport between clinics and the laboratory.
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Affiliation(s)
- Geng-Ping Lin
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
- Division of Colon and Rectal Surgery, Chang Gung Memorial Hospital, Chang Gung University, Tao-Yuan City 33305, Taiwan
| | - Bhamini Vadhwana
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
| | - Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
| | - Piers R Boshier
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
| | - Patrik Španěl
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
- J. Heyrovský Institute of Physical Chemistry of the Czech Academy of Sciences, Prague 182 23, Czech Republic
| | - George B Hanna
- Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London W2 1PE, United Kingdom
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25
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Ibrahim W, Carr L, Cordell R, Wilde MJ, Salman D, Monks PS, Thomas P, Brightling CE, Siddiqui S, Greening NJ. Breathomics for the clinician: the use of volatile organic compounds in respiratory diseases. Thorax 2021; 76:514-521. [PMID: 33414240 PMCID: PMC7611078 DOI: 10.1136/thoraxjnl-2020-215667] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 10/28/2020] [Accepted: 12/03/2020] [Indexed: 01/17/2023]
Abstract
Exhaled breath analysis has the potential to provide valuable insight on the status of various metabolic pathways taking place in the lungs locally and other vital organs, via systemic circulation. For years, volatile organic compounds (VOCs) have been proposed as feasible alternative diagnostic and prognostic biomarkers for different respiratory pathologies.We reviewed the currently published literature on the discovery of exhaled breath VOCs and their utilisation in various respiratory diseasesKey barriers in the development of clinical breath tests include the lack of unified consensus for breath collection and analysis and the complexity of understanding the relationship between the exhaled VOCs and the underlying metabolic pathways. We present a comprehensive overview, in light of published literature and our experience from coordinating a national breathomics centre, of the progress made to date and some of the key challenges in the field and ways to overcome them. We particularly focus on the relevance of breathomics to clinicians and the valuable insights it adds to diagnostics and disease monitoring.Breathomics holds great promise and our findings merit further large-scale multicentre diagnostic studies using standardised protocols to help position this novel technology at the centre of respiratory disease diagnostics.
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Affiliation(s)
- Wadah Ibrahim
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Liesl Carr
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, Leicester, UK
| | | | | | - Dahlia Salman
- Department of Chemistry, Loughborough University, Loughborough, UK
| | - Paul S Monks
- School of Chemistry, University of Leicester, Leicester, UK
| | - Paul Thomas
- Department of Chemistry, Loughborough University, Loughborough, UK
| | - Chris E Brightling
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Salman Siddiqui
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Neil J Greening
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
- Institute for Lung Health, Leicester NIHR Biomedical Research Centre, Leicester, UK
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26
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Woodfield G, Belluomo I, Boshier PR, Waller A, Fayyad M, von Wagner C, Cross AJ, Hanna GB. Feasibility and acceptability of breath research in primary care: a prospective, cross-sectional, observational study. BMJ Open 2021; 11:e044691. [PMID: 33849851 PMCID: PMC8051376 DOI: 10.1136/bmjopen-2020-044691] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 01/02/2021] [Accepted: 03/23/2021] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES To examine the feasibility and acceptability of breath research in primary care. DESIGN Non-randomised, prospective, mixed-methods cross-sectional observational study. SETTING Twenty-six urban primary care practices. PARTICIPANTS 1002 patients aged 18-90 years with gastrointestinal symptoms. MAIN OUTCOME MEASURES During the first 6 months of the study (phase 1), feasibility of patient enrolment using face-to-face, telephone or SMS-messaging (Short Message Service) enrolment strategies, as well as processes for breath testing at local primary care practices, were evaluated. A mixed-method iterative study design was adopted and outcomes evaluated using weekly Plan-Do-Study-Act cycles, focus groups and general practitioner (GP) questionnaires.During the second 6 months of the study (phase 2), patient and GP acceptability of the breath test and testing process was assessed using questionnaires. In addition a 'single practice' recruitment model was compared with a 'hub and spoke' centralised recruitment model with regards to enrolment ability and patient acceptability.Throughout the study feasibility of the collection of a large number of breath samples by clinical staff over multiple study sites was evaluated and quantified by the analysis of these samples using mass spectrometry. RESULTS 1002 patients were recruited within 192 sampling days. Both 'single practice' and 'hub and spoke' recruitment models were effective with an average of 5.3 and 4.3 patients accrued per day, respectively. The 'hub and spoke' model with SMS messaging was the most efficient combined method of patient accrual. Acceptability of the test was high among both patients and GPs. The methodology for collection, handling and analysis of breath samples was effective, with 95% of samples meeting quality criteria. CONCLUSIONS Large-scale breath testing in primary care was feasible and acceptable. This study provides a practical framework to guide the design of Phase III trials examining the performance of breath testing in primary care.
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Affiliation(s)
- Georgia Woodfield
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Piers R Boshier
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Annabelle Waller
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Maya Fayyad
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Christian von Wagner
- Institute of Epidemiology and Health Care, University College London, London, London, UK
| | - Amanda J Cross
- School of Public Health, Imperial College London, London, UK
| | - George B Hanna
- Department of Surgery and Cancer, Imperial College London, London, UK
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27
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Tsou PH, Lin ZL, Pan YC, Yang HC, Chang CJ, Liang SK, Wen YF, Chang CH, Chang LY, Yu KL, Liu CJ, Keng LT, Lee MR, Ko JC, Huang GH, Li YK. Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer. Cancers (Basel) 2021; 13:1431. [PMID: 33801001 PMCID: PMC8003836 DOI: 10.3390/cancers13061431] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 12/25/2022] Open
Abstract
(1) Background: Lung cancer is silent in its early stages and fatal in its advanced stages. The current examinations for lung cancer are usually based on imaging. Conventional chest X-rays lack accuracy, and chest computed tomography (CT) is associated with radiation exposure and cost, limiting screening effectiveness. Breathomics, a noninvasive strategy, has recently been studied extensively. Volatile organic compounds (VOCs) derived from human breath can reflect metabolic changes caused by diseases and possibly serve as biomarkers of lung cancer. (2) Methods: The selected ion flow tube mass spectrometry (SIFT-MS) technique was used to quantitatively analyze 116 VOCs in breath samples from 148 patients with histologically confirmed lung cancers and 168 healthy volunteers. We used eXtreme Gradient Boosting (XGBoost), a machine learning method, to build a model for predicting lung cancer occurrence based on quantitative VOC measurements. (3) Results: The proposed prediction model achieved better performance than other previous approaches, with an accuracy, sensitivity, specificity, and area under the curve (AUC) of 0.89, 0.82, 0.94, and 0.95, respectively. When we further adjusted the confounding effect of environmental VOCs on the relationship between participants' exhaled VOCs and lung cancer occurrence, our model was improved to reach 0.92 accuracy, 0.96 sensitivity, 0.88 specificity, and 0.98 AUC. (4) Conclusion: A quantitative VOCs databank integrated with the application of an XGBoost classifier provides a persuasive platform for lung cancer prediction.
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Affiliation(s)
- Ping-Hsien Tsou
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Zong-Lin Lin
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan;
| | - Yu-Chiang Pan
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan;
| | - Hui-Chen Yang
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Chien-Jen Chang
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Sheng-Kai Liang
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Yueh-Feng Wen
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Chia-Hao Chang
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Lih-Yu Chang
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Kai-Lun Yu
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Chia-Jung Liu
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Li-Ta Keng
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Meng-Rui Lee
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Jen-Chung Ko
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 30059, Taiwan; (P.-H.T.); (H.-C.Y.); (C.-J.C.); (S.-K.L.); (Y.-F.W.); (C.-H.C.); (L.-Y.C.); (K.-L.Y.); (C.-J.L.); (L.-T.K.); (M.-R.L.)
| | - Guan-Hua Huang
- Institute of Statistics, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan;
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan;
| | - Yaw-Kuen Li
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan;
- Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsin-Chu 30010, Taiwan
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Belizário JE, Faintuch J, Malpartida MG. Breath Biopsy and Discovery of Exclusive Volatile Organic Compounds for Diagnosis of Infectious Diseases. Front Cell Infect Microbiol 2021; 10:564194. [PMID: 33520731 PMCID: PMC7839533 DOI: 10.3389/fcimb.2020.564194] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 11/16/2020] [Indexed: 01/13/2023] Open
Abstract
Exhaled breath contains thousand metabolites and volatile organic compounds (VOCs) that originated from both respiratory tract and internal organ systems and their microbiomes. Commensal and pathogenic bacteria and virus of microbiomes are capable of producing VOCs of different chemical classes, and some of them may serve as biomarkers for installation and progression of various common human diseases. Here we describe qualitative and quantitative methods for measuring VOC fingerprints generated by cellular and microbial metabolic and pathologic pathways. We describe different chemical classes of VOCs and their role in the host cell-microbial interactions and their impact on infection disease pathology. We also update on recent progress on VOC signatures emitted by isolated bacterial species and microbiomes, and VOCs identified in exhaled breath of patients with respiratory tract and gastrointestinal diseases, and inflammatory syndromes, including the acute respiratory distress syndrome and sepsis. The VOC curated databases and instrumentations have been developed through statistically robust breathomic research in large patient populations. Scientists have now the opportunity to find potential biomarkers for both triage and diagnosis of particular human disease.
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Affiliation(s)
- José E Belizário
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Joel Faintuch
- Department of Gastroenterology of Medical School, University of Sao Paulo, São Paulo, Brazil
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Breath Analysis: Comparison among Methodological Approaches for Breath Sampling. Molecules 2020; 25:molecules25245823. [PMID: 33321824 PMCID: PMC7763204 DOI: 10.3390/molecules25245823] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 12/20/2022] Open
Abstract
Despite promising results obtained in the early diagnosis of several pathologies, breath analysis still remains an unused technique in clinical practice due to the lack of breath sampling standardized procedures able to guarantee a good repeatability and comparability of results. The most diffuse on an international scale breath sampling method uses polymeric bags, but, recently, devices named Mistral and ReCIVA, able to directly concentrate volatile organic compounds (VOCs) onto sorbent tubes, have been developed and launched on the market. In order to explore performances of these new automatic devices with respect to sampling in the polymeric bag and to study the differences in VOCs profile when whole or alveolar breath is collected and when pulmonary wash out with clean air is done, a tailored experimental design was developed. Three different breath sampling approaches were compared: (a) whole breath sampling by means of Tedlar bags, (b) the end-tidal breath collection using the Mistral sampler, and (c) the simultaneous collection of the whole and alveolar breath by using the ReCIVA. The obtained results showed that alveolar fraction of breath was relatively less affected by ambient air (AA) contaminants (p-values equal to 0.04 for Mistral and 0.002 for ReCIVA Low) with respect to whole breath (p-values equal to 0.97 for ReCIVA Whole). Compared to Tedlar bags, coherent results were obtained by using Mistral while lower VOCs levels were detected for samples (both breath and AA) collected by ReCIVA, likely due to uncorrected and fluctuating flow rates applied by this device. Finally, the analysis of all data also including data obtained by explorative analysis of the unique lung cancer (LC) breath sample showed that a clean air supply might determine a further confounding factor in breath analysis considering that lung wash-out is species-dependent.
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Wilkinson M, White IR, Hamshere K, Holz O, Schuchardt S, Bellagambi FG, Lomonaco T, Biagini D, Di Francesco F, Fowler SJ. The peppermint breath test: a benchmarking protocol for breath sampling and analysis using GC-MS. J Breath Res 2020; 15. [PMID: 33302258 DOI: 10.1088/1752-7163/abd28c] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 12/10/2020] [Indexed: 11/11/2022]
Abstract
Exhaled breath contains hundreds of volatile organic compounds (VOCs) which offers the potential for diagnosing and monitoring a wide range of diseases. As the breath research field has grown, sampling and analytical practices have become highly varied between groups. Standardisation would allow meta-analyses of data from multiple studies and greater confidence in published results. The Peppermint Consortium has been formed to address this task of standardisation. In the current study we aimed to generate initial benchmark values for thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) analysis of breath samples containing peppermint-derived VOCs. Headspace analysis of peppermint oil capsules was performed to determine compounds of interest. Ten healthy participants were recruited by three groups. Each participant provided a baseline breath sample prior to taking a peppermint capsule, with further samples collected at 60, 90, 165, 285 and 360 min following ingestion. Sampling and analytical protocols were different for each institution, in line with their usual practice. Samples were analysed by TD-GC-MS and benchmarking values determined for the time taken for detected peppermint VOCs to return to baseline values. Sixteen compounds were identified in the capsule headspace. Additionally, 2,3-dehydro-1,8-cineole was uniquely found in the breath samples, with a washout profile that suggested it was a product of peppermint metabolism. Five compounds (α-pinene, β-pinene, eucalyptol, menthol and menthone) were quantified by all three groups. Differences in recovery were observed between the groups, particularly for menthone and menthol. The average time taken for VOCs to return to baseline was selected as the benchmark and were 441, 648, 1736, 643 and 375 min for α-pinene, β-pinene, eucalyptol, menthone and menthol respectively. An initial set of easy-to-measure benchmarking values for assessing the performance of TD-GC-MS systems for the analysis of VOCs in breath is presented. These values will be updated when more groups provide additional data.
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Affiliation(s)
- Maxim Wilkinson
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Iain R White
- Laboratory of Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, 5000, SLOVENIA
| | - Katie Hamshere
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Olaf Holz
- Member of the German Center for Lung Research (BREATH), Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Hannover, GERMANY
| | - Sven Schuchardt
- Member of the German Center for Lung Research (BREATH), Fraunhofer-Institut fur Toxikologie und Experimentelle Medizin, Hannover, GERMANY
| | - Francesca G Bellagambi
- Institut des Sciences Analytiques, Université Claude Bernard Lyon 1, 5, rue de la Doua, Villeurbanne, FRANCE, 69100, FRANCE
| | - Tommaso Lomonaco
- Universita degli Studi di Pisa Dipartimento di Chimica e Chimica Industriale, Pisa, ITALY
| | - Denise Biagini
- Universita degli Studi di Pisa Dipartimento di Chimica e Chimica Industriale, Pisa, ITALY
| | - Fabio Di Francesco
- Universita degli Studi di Pisa Dipartimento di Chimica e Chimica Industriale, Pisa, ITALY
| | - Stephen J Fowler
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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Holden KA, Ibrahim W, Salman D, Cordell R, McNally T, Patel B, Phillips R, Beardsmore C, Wilde M, Bryant L, Singapuri A, Monks P, Brightling C, Greening N, Thomas P, Siddiqui S, Gaillard EA. Use of the ReCIVA device in breath sampling of patients with acute breathlessness: a feasibility study. ERJ Open Res 2020; 6:00119-2020. [PMID: 33263021 PMCID: PMC7680907 DOI: 10.1183/23120541.00119-2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 07/17/2020] [Indexed: 01/24/2023] Open
Abstract
Introduction Investigating acute multifactorial undifferentiated breathlessness and understanding the driving inflammatory processes can be technically challenging in both adults and children. Being able to validate noninvasive methods such as breath analysis would be a huge clinical advance. The ReCIVA® device allows breath samples to be collected directly onto sorbent tubes at the bedside for analysis of exhaled volatile organic compounds (eVOCs). We aimed to assess the feasibility of using this device in acutely breathless patients. Methods Adults hospitalised with acute breathlessness and children aged 5–16 years with acute asthma or chronic stable asthma, as well as healthy adult and child volunteers, were recruited. Breath samples were collected onto sorbent tubes using the ReCIVA® device and sent for analysis by means of two-dimensional gas chromatography-mass spectrometry (GCxGC-MS). The NASA Task Load Index (NASA-TLX) was used to assess the perceived task workload of undertaking sampling from the patient's perspective. Results Data were available for 65 adults and 61 children recruited. In total, 98.4% of adults and 75.4% of children were able to provide the full target breath sample using the ReCIVA® device. NASA-TLX measurements were available in the adult population with mean values of 3.37 for effort, 2.34 for frustration, 3.8 for mental demand, 2.8 for performance, 3.9 for physical demand and 2.8 for temporal demand. Discussion This feasibility study demonstrates it is possible and acceptable to collect breath samples from both adults and children at the bedside for breathomics analysis using the ReCIVA® device. It is feasible to collect breath samples for breath analysis at the bedside using the ReCIVA device in acutely breathless adults and childrenhttps://bit.ly/2ZTonWo
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Affiliation(s)
- Karl A Holden
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,These authors contributed equally
| | - Wadah Ibrahim
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,These authors contributed equally
| | | | | | - Teresa McNally
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Bharti Patel
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Rachael Phillips
- NIHR Leicester Clinical Research Facility, Leicester Royal Infirmary, Leicester, UK
| | - Caroline Beardsmore
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Michael Wilde
- Dept of Chemistry, University of Leicester, Leicester, UK
| | - Luke Bryant
- Dept of Chemistry, University of Leicester, Leicester, UK
| | - Amisha Singapuri
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Paul Monks
- Dept of Chemistry, University of Leicester, Leicester, UK
| | - Chris Brightling
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Neil Greening
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Paul Thomas
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
| | - Salman Siddiqui
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,These authors contributed equally
| | - Erol A Gaillard
- NIHR Leicester Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,These authors contributed equally
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Wilkinson M, White IR, Goodacre R, Nijsen T, Fowler SJ. Effects of high relative humidity and dry purging on VOCs obtained during breath sampling on common sorbent tubes. J Breath Res 2020; 14:046006. [DOI: 10.1088/1752-7163/ab7e17] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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33
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Harshman SW, Pitsch RL, Davidson CN, Lee EM, Scott AM, Hill EM, Mainali P, Brooks ZE, Strayer KE, Schaeublin NM, Wiens TL, Brothers MC, Drummond LA, Yamamoto DP, Martin JA. Evaluation of a standardized collection device for exhaled breath sampling onto thermal desorption tubes. J Breath Res 2020; 14:036004. [PMID: 32155613 DOI: 10.1088/1752-7163/ab7e3b] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The Respiration Collector for In Vitro Analysis (ReCIVA) sampler, marketed by Owlstone Medical, provides a step forward in exhaled breath sampling through active sampling directly onto thermal desorption (TD) tubes. Although an improvement to the issues surrounding breath bag sampling, the ReCIVA device, first released in 2015, is a relatively new research and clinical tool that requires further exploration. Here, data are presented comparing two distinct ReCIVA devices. The results, comparing ReCIVA serial numbers #33 and #65, demonstrate that overall statistically insignificant results are obtained via targeted isoprene quantitation (p > 0.05). However, when the data are parsed by the TD tube type used to capture breath volatiles, either Tenax TA or the dual bed Tenax/Carbograph 5TD (5TD), a statistical difference (p < 0.05) among the two different TD tubes was present. These data, comparing the two ReCIVA devices with both Tenax TA and 5TD tubes, are further supported by a global metabolomics analysis yielding 85% of z-scores, comparing ReCIVA devices, below the limit for significance. Experiments to determine the effect of breathing rate on ReCIVA function, using guided breathing for low (7.5 breaths min-1) and high (15 breaths min-1) breathing rates, demonstrate the ReCIVA device shows no statistical difference among breathing rates for quantitated isoprene (p > 0.05). Global metabolomics analysis of the guided breathing rate data shows more than 87% of the z-scores, comparing high and low breathing rates using both the Tenax and the 5TD tubes, are below the level for significance. Finally, data are provided from a single participant who displayed background levels of isoprene while illustrating levels of acetone consistent with the remaining participants. Collectively, these data support the use of multiple ReCIVA devices for exhaled breath collection and provide evidence for an instance where exhaled isoprene is consistent with background levels.
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Affiliation(s)
- Sean W Harshman
- UES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBB, 2510 Fifth Street, Area B, Building 840, Wright-Patterson Air Force Base, OH 45433, United States of America. Author to whom any correspondence should be addressed
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34
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Harshman SW, Pitsch RL, Davidson CN, Scott AM, Hill EM, Smith ZK, Strayer KE, Schaeublin NM, Wiens TL, Brothers MC, Slusher GM, Steele ML, Geier BA, Fan M, Drummond LA, Martin JA. Characterization of standardized breath sampling for off-line field use. J Breath Res 2019; 14:016009. [PMID: 31703231 DOI: 10.1088/1752-7163/ab55c5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Due to several sources of potential variability associated with exhaled breath bag sampling procedures for off-line analysis, the Respiration Collector for in vitro Analysis (ReCIVA) sampler was developed. Although designed to improve upon several pitfalls of sampling with exhaled breath bags, the ReCIVA remains a minimally studied research tool. In this manuscript, several attributes of the ReCIVA sampler are investigated among three individual tests, such as background contamination, control software version, performance of different adsorbent tubes, duplicate sample production, and comparison to exhaled breath bags. The data shows greater than a 58% reduction in background siloxanes can be achieved with submersion of ReCIVA masks in ethyl alcohol or baking the masks at a high temperature (200 °C). The results illustrate the ReCIVA control software version plays a key role in the flow rates applied to thermal desorption (TD) tubes. Using exhaled isoprene as a representative analyte, the data suggest duplicate samples among ReCIVA pump banks can be achieved using two different thermal desorption tubes, Tenax TA and Tenax/Carbograph 5TD, when using an updated control software and manually calibrating the ReCIVA pumps to uniform flow rates (Tenax p = 0.3869, 5TD p = 0.3131). Additionally, using the updated control software and manual ReCIVA flow calibration, the data suggest the ReCIVA can produce statistically similar results among TD tube types (p = 0.3824) and compared to standard exhaled breath bags (p = 0.1534). Collectively, these results establish a method for manually calibrating the flow of the ReCIVA device to allow for the most consistent results. These data support further experimentation into the use of the ReCIVA sampler for exhaled breath research.
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Affiliation(s)
- Sean W Harshman
- UES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHXBC, 2510 Fifth Street, Area B, Building 840, Wright-Patterson AFB, OH 45433, United States of America
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35
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Markar SR, Wiggins T, Antonowicz S, Chin ST, Romano A, Nikolic K, Evans B, Cunningham D, Mughal M, Lagergren J, Hanna GB. Assessment of a Noninvasive Exhaled Breath Test for the Diagnosis of Oesophagogastric Cancer. JAMA Oncol 2019; 4:970-976. [PMID: 29799976 PMCID: PMC6145735 DOI: 10.1001/jamaoncol.2018.0991] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Question What is the diagnostic accuracy of a breath test for esophagogastric cancer? Findings In a multicenter diagnostic study of 335 patients, including 172 patients with esophagogastric cancer, the breath test demonstrated good diagnostic accuracy. Meaning This study suggests the potential of breath analysis as a noninvasive tool in the diagnosis of esophagogastric cancer. Importance Early esophagogastric cancer (OGC) stage presents with nonspecific symptoms. Objective The aim of this study was to determine the accuracy of a breath test for the diagnosis of OGC in a multicenter validation study. Design, Setting, and Participants Patient recruitment for this diagnostic validation study was conducted at 3 London hospital sites, with breath samples returned to a central laboratory for selected ion flow tube mass spectrometry (SIFT-MS) analysis. Based on a 1:1 cancer:control ratio, and maintaining a sensitivity and specificity of 80%, the sample size required was 325 patients. All patients with cancer were on a curative treatment pathway, and patients were recruited consecutively. Among the 335 patients included; 172 were in the control group and 163 had OGC. Interventions Breath samples were collected using secure 500-mL steel breath bags and analyzed by SIFT-MS. Quality assurance measures included sampling room air, training all researchers in breath sampling, regular instrument calibration, and unambiguous volatile organic compounds (VOCs) identification by gas chromatography mass spectrometry. Main Outcomes and Measures The risk of cancer was identified based on a previously generated 5-VOCs model and compared with histopathology-proven diagnosis. Results Patients in the OGC group were older (median [IQR] age 68 [60-75] vs 55 [41-69] years) and had a greater proportion of men (134 [82.2%]) vs women (81 [47.4%]) compared with the control group. Of the 163 patients with OGC, 123 (69%) had tumor stage T3/4, and 106 (65%) had nodal metastasis on clinical staging. The predictive probabilities generated by this 5-VOCs diagnostic model were used to generate a receiver operator characteristic curve, with good diagnostic accuracy, area under the curve of 0.85. This translated to a sensitivity of 80% and specificity of 81% for the diagnosis of OGC. Conclusions and Relevance This study shows the potential of breath analysis in noninvasive diagnosis of OGC in the clinical setting. The next step is to establish the diagnostic accuracy of the test among the intended population in primary care where the test will be applied.
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Affiliation(s)
- Sheraz R Markar
- Department Surgery & Cancer, Imperial College London, United Kingdom
| | - Tom Wiggins
- Department Surgery & Cancer, Imperial College London, United Kingdom
| | - Stefan Antonowicz
- Department Surgery & Cancer, Imperial College London, United Kingdom
| | - Sung-Tong Chin
- Department Surgery & Cancer, Imperial College London, United Kingdom
| | - Andrea Romano
- Department Surgery & Cancer, Imperial College London, United Kingdom
| | - Konstantin Nikolic
- Institute of Biomedical Engineering, Imperial College London, United Kingdom
| | - Benjamin Evans
- Institute of Biomedical Engineering, Imperial College London, United Kingdom
| | - David Cunningham
- Department of Oncology, Royal Marsden Hospital, London, United Kingdom
| | - Muntzer Mughal
- Department of Surgery, University College London Hospital, United Kingdom
| | - Jesper Lagergren
- Department of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,School of Cancer and Pharmaceutical Sciences, King's College London, United Kingdom
| | - George B Hanna
- Department Surgery & Cancer, Imperial College London, United Kingdom
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Li B, Zou X, Wang H, Lu Y, Shen C, Chu Y. Standardization study of expiratory conditions for on-line breath testing by proton transfer reaction mass spectrometry. Anal Biochem 2019; 581:113344. [DOI: 10.1016/j.ab.2019.113344] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 06/19/2019] [Accepted: 06/19/2019] [Indexed: 12/14/2022]
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Standardization procedures for real-time breath analysis by secondary electrospray ionization high-resolution mass spectrometry. Anal Bioanal Chem 2019; 411:4883-4898. [PMID: 30989265 PMCID: PMC6611759 DOI: 10.1007/s00216-019-01764-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/25/2019] [Accepted: 03/06/2019] [Indexed: 01/27/2023]
Abstract
Despite the attractiveness of breath analysis as a non-invasive means to retrieve relevant metabolic information, its introduction into routine clinical practice remains a challenge. Among all the different analytical techniques available to interrogate exhaled breath, secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS) offers a number of advantages (e.g., real-time, yet wide, metabolome coverage) that makes it ideal for untargeted and targeted studies. However, so far, SESI-HRMS has relied mostly on lab-built prototypes, making it difficult to standardize breath sampling and subsequent analysis, hence preventing further developments such as multi-center clinical studies. To address this issue, we present here a number of new developments. In particular, we have characterized a new SESI interface featuring real-time readout of critical exhalation parameters such as CO2, exhalation flow rate, and exhaled volume. Four healthy subjects provided breath specimens over a period of 1 month to characterize the stability of the SESI-HRMS system. A first assessment of the repeatability of the system using a gas standard revealed a coefficient of variation (CV) of 2.9%. Three classes of aldehydes, namely 4-hydroxy-2-alkenals, 2-alkenals and 4-hydroxy-2,6-alkedienals―hypothesized to be markers of oxidative stress―were chosen as representative metabolites of interest to evaluate the repeatability and reproducibility of this breath analysis analytical platform. Median and interquartile ranges (IQRs) of CVs for CO2, exhalation flow rate, and exhaled volume were 3.2% (1.5%), 3.1% (1.9%), and 5.0% (4.6%), respectively. Despite the high repeatability observed for these parameters, we observed a systematic decay in the signal during repeated measurements for the shorter fatty aldehydes, which eventually reached a steady state after three/four repeated exhalations. In contrast, longer fatty aldehydes showed a steady behavior, independent of the number of repeated exhalation maneuvers. We hypothesize that this highly molecule-specific and individual-independent behavior may be explained by the fact that shorter aldehydes (with higher estimated blood-to-air partition coefficients; approaching 100) mainly get exchanged in the airways of the respiratory system, whereas the longer aldehydes (with smaller estimated blood-to-air partition coefficients; approaching 10) are thought to exchange mostly in the alveoli. Exclusion of the first three exhalations from the analysis led to a median CV (IQR) of 6.7 % (5.5 %) for the said classes of aldehydes. We found that such intra-subject variability is in general much lower than inter-subject variability (median relative differences between subjects 48.2%), suggesting that the system is suitable to capture such differences. No batch effect due to sampling date was observed, overall suggesting that the intra-subject variability measured for these series of aldehydes was biological rather than technical. High correlations found among the series of aldehydes support this notion. Finally, recommendations for breath sampling and analysis for SESI-HRMS users are provided with the aim of harmonizing procedures and improving future inter-laboratory comparisons. Graphical abstract ![]()
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Critical Review of Volatile Organic Compound Analysis in Breath and In Vitro Cell Culture for Detection of Lung Cancer. Metabolites 2019; 9:metabo9030052. [PMID: 30889835 PMCID: PMC6468373 DOI: 10.3390/metabo9030052] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 03/11/2019] [Accepted: 03/13/2019] [Indexed: 12/16/2022] Open
Abstract
Breath analysis is a promising technique for lung cancer screening. Despite the rapid development of breathomics in the last four decades, no consistent, robust, and validated volatile organic compound (VOC) signature for lung cancer has been identified. This review summarizes the identified VOC biomarkers from both exhaled breath analysis and in vitro cultured lung cell lines. Both clinical and in vitro studies have produced inconsistent, and even contradictory, results. Methodological issues that lead to these inconsistencies are reviewed and discussed in detail. Recommendations on addressing specific issues for more accurate biomarker studies have also been made.
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Adam ME, Fehervari M, Boshier PR, Chin ST, Lin GP, Romano A, Kumar S, Hanna GB. Mass-Spectrometry Analysis of Mixed-Breath, Isolated-Bronchial-Breath, and Gastric-Endoluminal-Air Volatile Fatty Acids in Esophagogastric Cancer. Anal Chem 2019; 91:3740-3746. [PMID: 30699297 DOI: 10.1021/acs.analchem.9b00148] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A noninvasive breath test has the potential to improve survival from esophagogastric cancer by facilitating earlier detection. This study aimed to investigate the production of target volatile fatty acids (VFAs) in esophagogastric cancer through analysis of the ex vivo headspace above underivatized tissues and in vivo analysis within defined anatomical compartments, including analysis of mixed breath, isolated bronchial breath, and gastric-endoluminal air. VFAs were measured by PTR-ToF-MS and GC-MS. Levels of VFAs (acetic, butyric, pentanoic, and hexanoic acids) and acetone were elevated in ex vivo experiments in the headspace above esophagogastric cancer compared with the levels in samples from control subjects with morphologically normal and benign conditions of the upper gastrointestinal tract. In 25 patients with esophagogastric cancer and 20 control subjects, receiver-operating-characteristic analysis for the cancer-specific VFAs butyric acid ( P < 0.001) and pentatonic acid ( P = 0.005) within in vivo gastric-endoluminal air gave an area under the curve of 0.80 (95% confidence interval of 0.65 to 0.93, P = 0.01). Compared with mixed- and bronchial-breath samples, all examined VFAs were found in highest concentrations within esophagogastric-endoluminal air. In addition, VFAs were higher in all samples derived from cancer patients compared with in the controls. Equivalence of VFA levels within the mixed and bronchial breath of cancer patients suggests that their origin within breath is principally derived from the lungs and, by inference, from the systemic circulation as opposed to direct passage from the upper gastrointestinal tract. These findings highlight the potential to utilize VFAs for endoluminal-gas biopsies and noninvasive mixed-exhaled-breath testing for esophagogastric-cancer detection.
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Affiliation(s)
- Mina E Adam
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Matyas Fehervari
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Piers R Boshier
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Sung-Tong Chin
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Geng-Ping Lin
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Andrea Romano
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
| | - Sacheen Kumar
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
- Department of Upper Gastrointestinal Surgery , The Royal Marsden Hospital , London SW3 6JJ , United Kingdom
| | - George B Hanna
- Department of Surgery & Cancer , Imperial College London , London W2 1NY , United Kingdom
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Serasanambati M, Broza YY, Marmur A, Haick H. Profiling Single Cancer Cells with Volatolomics Approach. iScience 2018; 11:178-188. [PMID: 30612036 PMCID: PMC6319329 DOI: 10.1016/j.isci.2018.12.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/26/2018] [Accepted: 12/10/2018] [Indexed: 12/23/2022] Open
Abstract
Single-cell analysis is a rapidly evolving to characterize molecular information at the individual cell level. Here, we present a new approach with the potential to overcome several key challenges facing the currently available techniques. The approach is based on the identification of volatile organic compounds (VOCs), viz. organic compounds having relatively high vapor pressure, emitted to the cell's headspace. This concept is demonstrated using lung cancer cells with various p53 genetic status and normal lung cells. The VOCs were analyzed by gas chromatography combined with mass spectrometry. Among hundreds of detected compounds, 18 VOCs showed significant changes in their concentration levels in tumor cells versus control. The composition of these VOCs was found to depend, also, on the sub-molecular structure of the p53 genetic status. Analyzing the VOCs offers a complementary way of querying the molecular mechanisms of cancer as well as of developing new generation(s) of biomedical approaches for personalized screening and diagnosis. Measurement of VOCs was achieved at the single-cell level Genetic changes influence the emitted volatiles of single and bulk cancer cells Single-cell VOC analysis measures population heterogeneity in initial stage of tumors Volatolomics research can promote non-invasive, simple, and cost-effective diagnostics
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Affiliation(s)
- Mamatha Serasanambati
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel
| | - Abraham Marmur
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel; Russell Berries Nanotechnology Institute, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel; Technion Integrated Cancer Center, The Ruth and Bruce Rappaport Faculty of Medicine, 1 Efron St. Bat Galim, Haifa 3525433, Israel.
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Rezapour S, Shiravand M, Mardani M. Epigenetic changes due to physical activity. Biotechnol Appl Biochem 2018; 65:761-767. [PMID: 30144174 DOI: 10.1002/bab.1689] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 08/20/2018] [Indexed: 01/15/2023]
Abstract
One of the epigenetic-modifying factors is regular and continuous physical activity. This article attempts to investigate the effects of physical activity and exercise on changes in histone proteins and gene expression, as well as the effect of these exercises on the prevention of certain cancers and the ejection of age-related illnesses and cellular oxidation interactions. All of this is due to epigenetic changes and gene expression. Most studies have reported the positive effects of regular exercises on the expression of histone proteins. DNA methylation and the prevention of certain diseases such as cancer and respiratory diseases, caused by antioxidative interactions that occur more often in the elderly, have been studied.
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Affiliation(s)
- Sadegh Rezapour
- Faculty of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Mustafa Shiravand
- Faculty of Physical Education and Sports Sciences, Gilan University, Gilan, Iran
| | - Mahnaz Mardani
- Nutritional Health Research Center, Health and Nutrition Department, Lorestan University of Medical Sciences, Khorramabad, Iran
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Romano A, Doran S, Belluomo I, Hanna GB. High-Throughput Breath Volatile Organic Compound Analysis Using Thermal Desorption Proton Transfer Reaction Time-of-Flight Mass Spectrometry. Anal Chem 2018; 90:10204-10210. [DOI: 10.1021/acs.analchem.8b01045] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Andrea Romano
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Building, St. Mary’s Hospital, South Wharf Road, London W2 1NY, United Kingdom
| | - Sophie Doran
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Building, St. Mary’s Hospital, South Wharf Road, London W2 1NY, United Kingdom
| | - Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Building, St. Mary’s Hospital, South Wharf Road, London W2 1NY, United Kingdom
| | - George Bushra Hanna
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Building, St. Mary’s Hospital, South Wharf Road, London W2 1NY, United Kingdom
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Dutta D, Chong NS, Lim SH. Endogenous volatile organic compounds in acute myeloid leukemia: origins and potential clinical applications. J Breath Res 2018; 12:034002. [PMID: 29463782 DOI: 10.1088/1752-7163/aab108] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Not unlike many cancer types, acute myeloid leukemia (AML) exhibits many metabolic changes and reprogramming, causing changes in lipid metabolism. Some of the distinct molecular abnormalities associated with AML also modify the metabolic changes. Both processes result in changes in the production of endogenous volatile organic compounds (VOCs). The increasing availability of highly sensitive methods for detecting trace chemicals provides the opportunity to investigate the role of patient-specific VOC finger-prints as biomarkers for detecting early relapse or minimal residual disease in AML. Since VOC production is reliant on metabolic activities, when combined with currently available methods, VOC analysis may identify within a group of patients with flow cytometric or molecular evidence of residual disease those most at risk for disease relapse.
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Affiliation(s)
- Dibyendu Dutta
- Department of Professional Sciences, Middle Tennessee State University, Murfreesboro, Tennessee, United States of America
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Chin ST, Romano A, Doran SLF, Hanna GB. Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer. Sci Rep 2018; 8:5139. [PMID: 29572531 PMCID: PMC5865157 DOI: 10.1038/s41598-018-22890-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 03/01/2018] [Indexed: 12/17/2022] Open
Abstract
Disease breathomics is gaining importance nowadays due to its usefulness as non-invasive early cancer detection. Mass spectrometry (MS) technique is often used for analysis of volatile organic compounds (VOCs) associated with cancer in the exhaled breath but a long-standing challenge is the uncertainty in mass peak annotation for potential volatile biomarkers. This work describes a cross-platform MS strategy employing selected-ion flow tube mass spectrometry (SIFT-MS), high resolution gas chromatography-mass spectrometry (GC-MS) retrofitted with electron ionisation (EI) and GC-MS retrofitted with positive chemical ionisation (PCI) as orthogonal analytical approaches in order to provide facile identification of the oxygenated VOCs from breath of cancer patients. In addition, water infusion was applied as novel efficient PCI reagent in breathomics analysis, depicting unique diagnostic ions M+ or [M-17]+ for VOC identification. Identity confirmation of breath VOCs was deduced using the proposed multi-platform workflow, which reveals variation in breath oxygenated VOC composition of oesophageal-gastric (OG) cancer patients with dominantly ketones, followed by aldehydes, alcohols, acids and phenols in decreasing order of relative abundance. Accurate VOC identification provided by cross-platform approach would be valuable for the refinement of diagnostic VOC models and the understanding of molecular drivers of VOC production.
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Affiliation(s)
- Sung-Tong Chin
- Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom
| | - Andrea Romano
- Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom
| | - Sophie L F Doran
- Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom
| | - George B Hanna
- Department of Surgery and Cancer, Division of Surgery, Imperial College London, London, W2 1NY, United Kingdom.
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